Dataset Versions
v4
2024-09-04 8:19am
Generated on Sep 4, 2024
4869 Total Images
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Dataset Split
Train Set 97%
4722Images
Valid Set %
0Images
Test Set 3%
147Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 18% Maximum Zoom
Rotation: Between -24° and +24°
Shear: ±10° Horizontal, ±12° Vertical
Grayscale: Apply to 17% of images
Hue: Between -37° and +37°
Saturation: Between -30% and +30%
Brightness: Between -22% and +22%
Exposure: Between -18% and +18%
Blur: Up to 1.5px
Noise: Up to 2.23% of pixels
Cutout: 1 boxes with 10% size each